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Authors: Daniel Tertilt 1 ; André Bögelsack 1 and Helmut Krcmar 2

Affiliations: 1 An-Institut der Technischen Universität München, Germany ; 2 Technische Universitaet Muenchen, Germany

ISBN: 978-989-8565-10-5

Keyword(s): Performance, Modeling, ERP, Synthetic Benchmark, Evolutionary Algorithm.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Databases and Information Systems Integration ; Enterprise Information Systems ; Enterprise Resource Planning ; Enterprise Software Technologies ; Evolutionary Programming ; Industrial Applications of Artificial Intelligence ; Information Systems Analysis and Specification ; Performance Evaluation and Benchmarking ; Simulation and Modeling ; Simulation Tools and Platforms ; Software Engineering ; Software Metrics and Measurement

Abstract: Simulating the performance behavior of complex software systems, like Enterprise Resource Planning (ERP) systems, is a hard task due to the high number of system components when using a white box simulation approach. This paper utilizes a black box approach for establishing a simulation model for SAP ERP systems on the basis of real world performance data, which is gathered by using a synthetic benchmark. In this paper we introduce the benchmark, called Zachmanntest, and demonstrate that by using an evolutionary algorithm basing on the results of the Zachmanntest, the exact performance behavior of the ERP system can be modeled. Our work provides insights on how the algorithm is parameterized e.g. for the mutation and crossover probability, to receive optimal results. Furthermore we show that the evolutionary algorithm models the performance and scalability of an ERP system with an error less than 3.2%. With this approach we are able to build simulation models representing the exact pe rformance behavior of a SAP ERP system with much less effort than required when using a white box simulation approach. (More)

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Paper citation in several formats:
Tertilt, D.; Bögelsack, A. and Krcmar, H. (2012). Modeling the Performance and Scalability of a SAP ERP System using an Evolutionary Algorithm.In Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-10-5, pages 112-118. DOI: 10.5220/0003971001120118

@conference{iceis12,
author={Daniel Tertilt. and André Bögelsack. and Helmut Krcmar.},
title={Modeling the Performance and Scalability of a SAP ERP System using an Evolutionary Algorithm},
booktitle={Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2012},
pages={112-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003971001120118},
isbn={978-989-8565-10-5},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Modeling the Performance and Scalability of a SAP ERP System using an Evolutionary Algorithm
SN - 978-989-8565-10-5
AU - Tertilt, D.
AU - Bögelsack, A.
AU - Krcmar, H.
PY - 2012
SP - 112
EP - 118
DO - 10.5220/0003971001120118

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